Anomaly detection in traffic surveillance videos using deep learning

SW Khan, Q Hafeez, MI Khalid, R Alroobaea… - Sensors, 2022 - mdpi.com
traffic videos. In the modern world, video traffic surveillance cameras (VTSS) are used for
traffic … anomalies (accidents) in videos captured by videos of traffic surveillance systems (VTSS)…

[HTML][HTML] Deep learning based detection and localization of road accidents from traffic surveillance videos

K Pawar, V Attar - ICT Express, 2022 - Elsevier
… Real-world traffic surveillance videos need continuous supervision to monitor and take …
in the video. The model is executed on a real-world video traffic surveillance datasets and …

A real-time video surveillance system for traffic pre-events detection

A Pramanik, S Sarkar, J Maiti - Accident Analysis & Prevention, 2021 - Elsevier
… is proposed for the development of a video surveillance-based system for improving road …
detecting various traffic pre-events from traffic videos, such as speed violation, one-way traffic, …

Traffic flow estimation with data from a video surveillance camera

A Fedorov, K Nikolskaia, S Ivanov, V Shepelev… - Journal of Big Data, 2019 - Springer
… the problem of traffic flow estimation based on the data from a video surveillance camera.
Target … To train and evaluate detector, we gathered 982 video frames with more than 60,000 …

Vehicle classification for large-scale traffic surveillance videos using convolutional neural networks

L Zhuo, L Jiang, Z Zhu, J Li, J Zhang, H Long - Machine Vision and …, 2017 - Springer
… All images in the VehicleDataset are extracted from real highway surveillance videos,
including variations of illumination, noise, resolution, angle of video cameras and weather. The …

Vehicle classification from traffic surveillance videos at a finer granularity

X Chen, C Zhang - International Conference on Multimedia Modeling, 2007 - Springer
… In our experiments, we use grayscale traffic surveillance videos. It is … a traffic surveillance
video sequence. The system first tracks and segments vehicles from raw surveillance videos. …

Video surveillance-based intelligent traffic management in smart cities

F Mehboob, M Abbas, A Rauf, SA Khan… - … Video Surveillance, 2019 - books.google.com
videos, a state-of-the-art algorithm has been proposed in this chapter for 3D conversion of
traffic video … glyph is employed efficiently in surveillance videos and utilized for event detection…

Video Surveillance for Road Traffic Monitoring

P Albacar, O Lorente, E Mainou, I Riera - arXiv preprint arXiv:2105.04908, 2021 - arxiv.org
This paper presents the learned techniques during the Video Analysis Module of the Master
in Computer Vision from the Universitat Aut\`onoma de Barcelona, used to solve the third …

Airborne traffic surveillance systems: video surveillance of highway traffic

S Srinivasan, H Latchman, J Shea, T Wong… - … on Video surveillance & …, 2004 - dl.acm.org
… in real-time surveillance of highway traffic. Other than statistics that will … traffic surveillance
is to monitor traffic crises, especially to provide emergency services. Current traffic surveillance

Traffic speed estimation from surveillance video data

T Huang - Proceedings of the IEEE conference on …, 2018 - openaccess.thecvf.com
… use surveillance camera as visual validation of incidents, but also as speed data collection
and traffic flow monitoring. Thus, this study focuses on estimating vehicle speeds from video